参考词汇:丑小鸭ugly duckling 天鹅swan
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1. How many parcels are expected to be delivered this year?
A.30.8 billion. | B.83 billion. | C.95.5 billion. |
A.2,000 boxes recycle stations will be built. |
B.All packages will be wrapped only once. |
C.New energy vehicles will be used to deliver packages. |
A.The locations of recycle stations. |
B.The wrapping products. |
C.The types of new energy vehicles. |
3 . Last week, I sent the same request to ChatGPT, the latest artificial-intelligence chatbot from OpenAI. “Upon the Firth of Forth, a bridge doth stand,” it began. In less than a minute, the program had created in full a rhyming Shakespearean sonnet (莎士比亚十四行诗). Tools like ChatGPT seem poised to change the world of poetry — and so much else — but poets also have a lot to teach us about artificial intelligence. If algorithms (算法) are getting good at writing poetry, it’s partially because poetry was always an algorithmic business.
Even the most rebellious (叛逆的) poets follow more rules than they might like to admit. When schoolchildren are taught to imitate the structure of sonnet, they are effectively learning to follow algorithmic constraints. Should it surprise us that computers can do so, too?
But considering how ChatGPT works, its ability to follow the rules for sonnets seems a little more impressive. No one taught it these rules. It is based on a newer kind of AI known as a large language model (LLM). To put it simply, LLMs analyze large amounts of human writing and learn to predict what the next word in a string of text should be, based on context. One frequent criticism of LLMs is that they do not understand what they write; they just do a great job of guessing the next word.
When a private verse by Dickinson makes us feel like the poet speaks directly to us, we are experiencing the effects of a technology called language. Poems are made of paper and ink — or, these days, electricity and light. There is no one “inside” a Dickinson poem any more than one by ChatGPT. Of course, every Dickinson poem reflects her intention to create meaning. When ChatGPT puts words together, it does not intend anything. Some argue that writings by LLMs therefore have no meaning, only the appearance of it. If I see a cloud in the sky that looks like a giraffe, I recognize it as an accidental similarity. In the same way, this argument goes, we should regard the writings of ChatGPT as merely imitating real language, meaningless and random as cloud shapes.
When I showed my friends the sonnet by ChatGPT, they called it “soulless and barren.” Despite following all the rules for sonnets, the poem is predictable. But is the average sonnet by a human any better? If we now expect computers to write not just poems but good poems, then we have set a much higher bar.
1. What is the main idea of paragraph 1 and paragraph 2?A.ChatGPT will make a difference to poetry based on algorithms. |
B.There is no doubt that AI can copy the grammatical rules of poetry. |
C.Poetry guidelines provide a possibility for AI’s poetry writing. |
D.There is a similarity between algorithms and poetry. |
A.ChatGPT is trained to follow the rules by LLMs. |
B.ChatGPT can analyze and predict human languages. |
C.ChatGPT is technologically supported by LLMs. |
D.ChatGPT itself learn to follow the rules. |
A.He talks about cloud to describe the meaninglessness of AI’s poetry. |
B.He tells of Dickinson to describe the meaninglessness AI’s poetry. |
C.He mentions cloud to suggest its close relationship with AI’s poetry. |
D.He refers to Dickinson to suggest her close relationship with AI’s poetry. |
A.Acceptable and favorable | B.Amazed and admiring |
C.Indifferent and uncaring | D.Doubtful and uneasy |
1.分析产生这一现象原因;
2.该现象造成的不良影响;
3.发出积极的倡议。
注意:
1.写作词数应为80左右;
2.短文的题目和首句已为你写好(不计入总词数)。
Too much expenditure on fashion
Recently, an increasing number of students are pursuing fashion in our class.
_______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________1. What’s the talk mainly about?
A.The development of the bicycle. |
B.The materials of making the bicycle. |
C.The process of the bicycle’s becoming popular. |
A.The bicycle couldn’t change directions. |
B.The wheels of the bicycle weren’t well fixed. |
C.The rider’s feet couldn’t leave the ground. |
A.In 1817. | B.In 1839. | C.In 1869. |
A.Bicycles first had rubber tires. |
B.The “safety bicycle” appeared. |
C.Bicycles could run faster. |
6 . Atomic shapes are so simple that they can’t be broken down any further. Mathematicians are trying to turn to artificial intelligence (AI) for help to build a periodic table of these shapes, hoping it will assist in finding yet-unknown atomic shapes.
Tom Coates at Imperial College London and his colleagues are working to classify atomic shapes known as Fano varieties, which are so simple that they can’t be broken down into smaller components. Just as chemists arranged element s in the periodic table by their atomic weight and group to reveal new insights, the researchers hope that organizing these atomic shapes by their various properties will help in understanding them.
The team has given each atomic shape a sequence of numbers based on its features such as the number of holes it has or the extent to which it bends around itself. This acts as a bar code (条形码) to identify it. Coates and his colleagues have now created an AI that can predict certain properties of these shapes from their bar code numbers alone, with an accuracy of 98 percent.
The team member Alexander Kasprzyk at the University of Nottingham, UK, says that the AI has let the team organize atomic shapes in a way that begins to follow the periodic table, so that when you read from left to right, or up and down, there seem to be general patterns in the geometry (几何) of the shapes.
Graham Nib lo at the University of Southampton, UK, stresses that humans will still need to understand the results provided by AI and create proofs of these ideas. “AI has definitely got unbelievable abilities. But in the same way that telescopes (望远镜) don’t put astronomers out of work, AI doesn’t put mathematicians out of work,” he says. “It just gives us new backing that allows us to explore parts of the mathematical landscape that are out of reach.”
The team hopes to improve the model to the point where missing spaces in its periodic table could point to the existence of unknown shapes.
1. What is the purpose of building a periodic table of shapes?A.To gain deeper insights into the atomic shapes. |
B.To create an AI to predict the unknown shapes. |
C.To break down atomic shapes into smaller parts. |
D.To arrange chemical elements in the periodic table. |
A.Its holes. | B.Its bends. |
C.Its atomic weight. | D.Its properties. |
A.Design. | B.Help. | C.Duty. | D.Threat. |
A.Thanks to AI, new atomic shapes have been discovered. |
B.Mathematicians turn to AI to create more atomic shapes. |
C.AI helps build a relationship between chemistry and maths. |
D.A periodic table of shapes can be built with the help of AI. |
1.书名及作家简介;
2.书的内容概况;
3.分享的理由。
注意: 词数80左右
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Men Wanted
For a dangerous journey: small wages, bitter cold, long months of complete darkness, constant danger, and safe return uncertain. Honor and reward will follow if it is successful.
Earnest Shackleton
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1.阐述网络带来的好处
2.阐述网络带来的弊端
3.呼吁合理负责任地谨慎使用互联网。
注意:字数100-120;开头和结尾已提供,不计入字数。
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10 . The Great PowerPoint Panic of 2003.
Sixteen minutes before touchdown on the morning of February 1, 2003, the space shuttle Columbia (“哥伦比亚”号航天飞机)
The immediate
By the start of 2003, the phrase “death by PowerPoint” had well and truly entered the
Wired ran an excerpt (节选) from Tufte’s booklet in September 2003 under the headline “PowerPoint Is Evil.” A few months later, The New York Times Magazine included his assessment — summarized as “PowerPoint Makes You Dumb” — in its
Despite the backlash it inspired in the
On its face at least, the idea that PowerPoint makes us stupid looks like a textbook case of misguided technological doomsaying. Today’s concerns about social media somehow resemble the PowerPoint critique. Both boil down to a worry that new media technologies
A.disappeared | B.disintegrated | C.distributed | D.disappointed |
A.side | B.cause | C.feature | D.issue |
A.collected | B.unified | C.dropped | D.single |
A.discounted | B.viewed | C.accessed | D.founded |
A.muted | B.absorbed | C.buried | D.sunk |
A.technical | B.popular | C.negative | D.special |
A.possibly | B.reasonably | C.ordinarily | D.necessarily |
A.accommodated | B.combined | C.distinguished | D.enhanced |
A.abstract | B.repetition | C.review | D.brief |
A.press | B.publication | C.media | D.criticism |
A.opened | B.created | C.threw | D.jumped |
A.rules | B.harmonizes | C.impacts | D.roars |
A.feature | B.encourage | C.value | D.defend |
A.Therefore | B.However | C.Certainly | D.Surprisingly |
A.difference | B.truth | C.time | D.concern |